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Presented by
© Copyr i gh t 2013 OSIso f t , LLC.
Empowering
operations with
PI System
Marcin Błasiak – Chief Production
Management Systems Specialist
© Copyr i gh t 2013 OSIso f t , LLC.
Agenda
• About PGNiG Termika
• PI System at PGNiG Termika – business case
• Examples of PI applications
• Conclusions
2
© Copyr i gh t 2013 OSIso f t , LLC.
History
3
• 1904 – first power plant in Warsaw – CHP Powiśle
• 1914 – CHP pruszków
• 1954 – first turbine in CHP Żerań
• 1961 first turbine in CHP Siekierki
• 1974 – HOB Wola
• 1983 – HOB Kawęczyn
• 2000 – Vattenfall Heat Poland
• 2012 – PGNiG Termika
© Copyr i gh t 2013 OSIso f t , LLC.
About PGNiG Termika
4
• Since January 2012 Vattenfall Heat
Poland became PGNiG Termika
• 5 Power plants (3 CHP’s and 2 HOB’s
• First Heat Accumulator in Poland CHP
Siekierki
• PGNiG Termika produces over 40 mGJ of
heat covering 70 % of Warsaw’s heat
demand
• Annual electricity sales covers 50 % of
Warsaw’s electricity consumption
(cogeneration)
• PGNiG Termika supports district heating
grid owned by Dalkia Polska
• Fuels: hard coal, biomass
186 MWt
9 MWe
1 554 MWt
298 MWe 465 MWt
2 014 MWt
622 MWe
465 MWt
1904 – first Power Plant in Warsaw
© Copyr i gh t 2013 OSIso f t , LLC.
Background
5
The beginning …
5 independent Power Plants
Lack of detailed central planning
Lack of central monitoring of production process
Not optimal production process
Target… efficiency improvement
The beginning of Production Dispatch
Need for detailed information exchange with partners
A lot of calculations & reporting… very quickly
Quick access to information about production process
Need for production process optimization
© Copyr i gh t 2013 OSIso f t , LLC.
Benefits: Operating Point
17
Efficiency report - boiler losses
0%
20%
40%
60%
80%
100%
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Time
Loss 1 Loss 2 Loss 3 Loss 4 Loss 5 Loss 6 Loss 7 Loss 8 Loss 9 Loss 10
On-line efficiency monitoring
helps us to operate only the most
efficient units at their optimal point
and save up to 2…3% of fuel
© Copyr i gh t 2013 OSIso f t , LLC.
Benefits: KPI monitoring
19
KPI monitoring helps us to define
strategic goals and take
the right actions
In the right time
© Copyr i gh t 2013 OSIso f t , LLC.
Benefits: Condition based maintenance
21
By finding relationships between
device operational parameters
and overall eficiency we can easily
Indicate device failure or
bad condition
© Copyr i gh t 2013 OSIso f t , LLC.
Benefits: Efficiency monitoring
22
Instead of complex measurement procedure twice a year we provide online calculation
(in connection with neural networks) to see how device (boiler behaves)
On-line calculation = another 50.000 EUR saving per year
© Copyr i gh t 2013 OSIso f t , LLC.
Variable cost in function of load Variable cost in function of time
Decision point.
Which boiler to
shut down ?
Benefits: Variable cost monitoring
23
On-line variable cost
Calculation gives possibility
to choose between optimal
devices set
to provide optimal configuration
Optimal configuration =
ca. 50.000 EUR saving per year
© Copyr i gh t 2013 OSIso f t , LLC.
Key benefit…
What is the real benefit of PI system
implementation from the perspective of a decade
of operation?
25
© Copyr i gh t 2013 OSIso f t , LLC.
Organization transformation
• „How can PI help us?” instead of „We need to
implement something…”
• „Always think about synergies before you act”
• Information brings more value to organization
than just storing data
• We should always give users freedom of
organizing their workspace.
26
© Copyr i gh t 2013 OSIso f t , LLC.
Transformation into a global system
27
Process monitoring
Production settlements
Reporting
KPI definition and monitoring
Advanced performance
calculation Communication with external
partners
Production & Asset management
PI
Other IT
systems:
- Data warehouse
- SCADA systems
- Physical
connections
- ERP systems
- Dedicated
applications
PI:
- Data validation
- ACE calculations
- Integration via
OLEDB / web
services
- AF for process
representation
Areas of operation Past Now
© Copyr i gh t 2013 OSIso f t , LLC.
New areas of development
28
Data exchange with
partners
PI as a system for
settlements
Communication event
handling
Before
After
- Data exchage via industrial
protocols
- Number of data streams
limited to end-edvices
capacity
- Scalability requires
hardware modification
- Communication via Web
services
- Large scalability with
assets consumption
Before
After
- Settlements done by many
systems
- Complicated data
exchange between
settlement procesess
- PI as a settlement system
- Data validates by ACE
- No data exchange
problems
Before
After
- Communication to shift
engineers by email – not
everybody know about
production strategy
- Shift reports in excel
sheets
- Communication via PI
usiNg data streams for
information visualization
- Shift reports in PI
© Copyr i gh t 2013 OSIso f t , LLC.
Marcin Błasiak
Chief Production Management System Specialist
PGNiG Termika
29
© Copyr i gh t 2013 OSIso f t , LLC. 30
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